Using the beta-binomial distribution for the analysis of biometric identification

Gabor A. Werner, Laszlo Hanka
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引用次数: 4

Abstract

In this paper we presented a method which could be used in the testing process of biometric devices on the side of users and costumers. The failed events during the biometrical identification are more common than the literature data, however there isn't any standard or widely accepted manual for the examinations. The conventional statistical methods use the binomial distribution to estimate the expected number of failure, but in the field of the biometrics the probability parameter can't be constant which means that it is necessary to describe a process. Our results have shown that the probability is characterized with two parameters of the beta distribution, and these are predictable from a smaller sample of the investigated population with the maximum-likelihood method.
利用β -二项分布进行生物特征识别分析
本文提出了一种可用于用户和消费者侧生物识别设备测试过程的方法。生物特征识别过程中的失败事件比文献数据更常见,但目前还没有一个标准的或被广泛接受的检查手册。传统的统计方法采用二项分布来估计故障的期望次数,但在生物识别领域,概率参数不能是恒定的,这意味着必须对一个过程进行描述。我们的结果表明,概率是由beta分布的两个参数表征的,这些参数可以用最大似然方法从较小的调查总体样本中预测出来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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